Combining advances in display technologies, holographic imaging, and artificial intelligence, engineers at Stanford say they have produced a leap forward for augmented reality.
In this episode, we discuss how a team from Carnegie Mellon University spearheading non-invasive brain computer interface solutions has had a significant breakthrough in improving their accuracy.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Combining advances in display technologies, holographic imaging, and artificial intelligence, engineers at Stanford say they have produced a leap forward for augmented reality.
In this episode, we discuss how a team from Carnegie Mellon University spearheading non-invasive brain computer interface solutions has had a significant breakthrough in improving their accuracy.
A four-legged robot trained with machine learning by EPFL researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking – a milestone for roboticists as well as biologists interested in animal locomotion.
NVIDIA TAO and Edge Impulse integrate to streamline the development and deployment of edge AI models, empowering developers to quickly build and optimize AI applications for diverse hardware environments.
Mohammed Dogar, Vice President, Head of Global Business Development & Ecosystem, and Jeff Sieracki, Director of AI COE, will sit with tech writer Samir Jaber to unpack the Reality AI Tools suite and discuss their impact on Edge AI applications.
In this episode, ANT61 Founder and CEO Mikhail Asavkin joins BrainChip CTO Dr. Tony Lewis to discuss the evolution of Space Technology and its impact on daily life.
NXP Semiconductors' new MCX N Series advanced processor engines are general-purpose and application-specific microcontrollers based on Arm® Cortex®-M33 CPUs.
Dr. Nitesh Saxena is teaming up with the Texas A&M Engineering Experiment Station and Rutgers University to create software that could stop voice-control mischief in manufacturing settings.
In his doctoral research, Daan de Geus worked on advanced image processing methods that allow robots and cars to better recognize what they see around them.
Achieving a noteworthy milestone to advance noninvasive brain-controlled interfaces, researchers used AI technology to improve the decoding of human intention and control a continuously moving virtual object all by thinking about it, with unmatched performance.